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1 to 4 of 4 Results
Dataset / Software
Sep 21, 2015 - CIMMYT Research Data
Crossa, José; Campos, Gustavo de los; Maccaferri, Marco; Tuberosa, Roberto; Burgueño, Juan; Pérez-Rodríguez, Paulino, 2015, "Extending the Marker × Environment Interaction Model for Genomic-Enabled Prediction and Genome Wide Association Analyses in Durum Wheat", hdl:11529/10233, CIMMYT Research Data & Software Repository Network, V6
The marker × environment interaction (M×E) genomic model can be used to generate predictions for untested individuals and identify genomic regions whose effects are stable across environments and others that show environmental specificity. The objectives of this study were: (1) t...
Dataset / Software
Dec 18, 2015 - CIMMYT Research Data
Cuevas, Jaime; Crossa, José; Soberanis, Víctor; Pérez-Elizalde, Sergio; Pérez-Rodríguez, Paulino; Campos, Gustavo de los, 2015, "Genomic Prediction of Marker × Environment Interaction Kernel Regression Models", hdl:11529/10580, CIMMYT Research Data & Software Repository Network, V1
The marker × environment interaction (M×E) decomposes the marker effects into main effects and interaction environmental-specific effects. The M×E interaction may be modeled through a linear kernel (Genomic Best Linear Unbiased Predictor, GBLUP) or with non-linear Gaussian kernel...
Dataset / Software
Jul 20, 2016 - CIMMYT Research Data
Montesinos-López, Osval Antonio; Montesinos-López, Abelardo; Crossa, José; Campos, Gustavo de los; Alvarado, Gregorio; Mondal, Suchismita; Rutkoski, Jessica; Pérez-González, Lorena; Burgueño, Juan, 2016, "Prediction models for canopy hyperspectral reflectance in wheat breeding data", hdl:11529/10693, CIMMYT Research Data & Software Repository Network, V1
Vegetation indices (VI) generated by using some bands from hyperspectral cameras are used as predictors of primary traits. This study proposes models that use all available bands as predictors of primary traits. The proposed models were ordinal least square (OLS), Bayes B, princi...
Dataset / Software
Sep 12, 2016 - CIMMYT Research Data
Cuevas, Jaime; Crossa, José; Montesinos-López, Osval Antonio; Burgueño, Juan; Pérez-Rodríguez, Paulino; Campos, Gustavo de los, 2016, "Bayesian genomic prediction with genotype × environment interaction kernel models", hdl:11529/10710, CIMMYT Research Data & Software Repository Network, V1
The phenomenon of genotype × environment (G×E) interaction in plant breeding decreases selection accuracy, thereby negatively affecting genetic gains. Several genomic prediction models incorporating G×E have been recently developed and used in genomic selection of plant breeding...
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